_COUPLE=1;
_VITESSE=2;
data=struct();
data.type_experience=_VITESSE;
data.file_name='test_04_02_2015_09h_08mn_29s_VitesseCte7000rpmX100.m';
data.description_experience="Consigne de vitesse sinusoidale, avec asservissement";
data.values=zeros(1335,6);% Indices des colonnes de données
data.col_time=1;
data.col_position=2;
data.col_vitesse=3;
data.col_current=4;
data.col_load=5;
data.col_consigne=6;
i=0;
i=i+1;data.values(i,:)=[0,1081,0,1890,376,7000];
i=i+1;data.values(i,:)=[15000,1070,1092,1846,690,7000];
i=i+1;data.values(i,:)=[29999,1032,1268,1973,564,7000];
i=i+1;data.values(i,:)=[45013,972,1428,2002,354,7000];
i=i+1;data.values(i,:)=[60000,910,1508,2015,270,7000];
i=i+1;data.values(i,:)=[75015,844,1532,2029,233,7000];
i=i+1;data.values(i,:)=[90002,781,1528,2012,246,7000];
i=i+1;data.values(i,:)=[104996,719,1536,2011,258,7000];
i=i+1;data.values(i,:)=[120002,654,1532,2022,246,7000];
i=i+1;data.values(i,:)=[135001,586,1524,2027,229,7000];
i=i+1;data.values(i,:)=[149998,522,1528,2019,249,7000];
i=i+1;data.values(i,:)=[165003,457,1536,2018,233,7000];
i=i+1;data.values(i,:)=[180002,395,1520,2016,227,7000];
i=i+1;data.values(i,:)=[195005,332,1524,2003,211,7000];
i=i+1;data.values(i,:)=[210004,264,1528,2017,244,7000];
i=i+1;data.values(i,:)=[225003,200,1528,2015,219,7000];
i=i+1;data.values(i,:)=[240002,137,1520,2011,217,7000];
i=i+1;data.values(i,:)=[255003,74,1528,2007,263,7000];
i=i+1;data.values(i,:)=[270003,9,1524,2016,252,7000];
i=i+1;data.values(i,:)=[285003,4037,1520,2023,255,7000];
i=i+1;data.values(i,:)=[300002,3974,1516,2028,263,7000];
i=i+1;data.values(i,:)=[315004,3908,1528,2008,228,7000];
i=i+1;data.values(i,:)=[329998,3845,1524,2019,258,7000];
i=i+1;data.values(i,:)=[345001,3781,1512,2013,236,7000];
i=i+1;data.values(i,:)=[360001,3715,1520,2006,258,7000];
i=i+1;data.values(i,:)=[375002,3653,1524,2018,239,7000];
i=i+1;data.values(i,:)=[390002,3585,1512,2025,252,7000];
i=i+1;data.values(i,:)=[405002,3523,1520,2025,275,7000];
i=i+1;data.values(i,:)=[420000,3458,1520,2014,275,7000];
i=i+1;data.values(i,:)=[434998,3395,1512,2012,223,7000];
i=i+1;data.values(i,:)=[450003,3327,1516,2026,250,7000];
i=i+1;data.values(i,:)=[465000,3264,1528,2006,236,7000];
i=i+1;data.values(i,:)=[480002,3198,1528,2006,217,7000];
i=i+1;data.values(i,:)=[495001,3136,1520,2020,252,7000];
i=i+1;data.values(i,:)=[510000,3068,1528,2020,263,7000];
i=i+1;data.values(i,:)=[525005,3007,1528,2006,231,7000];
i=i+1;data.values(i,:)=[539999,2940,1520,2021,241,7000];
i=i+1;data.values(i,:)=[555002,2877,1524,2024,263,7000];
i=i+1;data.values(i,:)=[570001,2812,1528,2013,247,7000];
i=i+1;data.values(i,:)=[585000,2750,1524,2023,227,7000];
i=i+1;data.values(i,:)=[600005,2686,1524,2022,219,7000];
i=i+1;data.values(i,:)=[614999,2616,1532,2026,239,7000];
i=i+1;data.values(i,:)=[630002,2553,1536,2008,205,7000];
i=i+1;data.values(i,:)=[644998,2490,1528,2020,243,7000];
i=i+1;data.values(i,:)=[659994,2428,1536,2018,258,7000];
i=i+1;data.values(i,:)=[674996,2363,1536,2018,243,7000];
i=i+1;data.values(i,:)=[689999,2300,1524,2014,235,7000];
i=i+1;data.values(i,:)=[705004,2233,1520,2001,260,7000];
i=i+1;data.values(i,:)=[721000,2163,1524,2005,263,7000];
i=i+1;data.values(i,:)=[735999,2101,1520,2010,241,7000];
i=i+1;data.values(i,:)=[751002,2038,1528,2025,275,7000];
i=i+1;data.values(i,:)=[766002,1973,1528,2010,258,7000];
i=i+1;data.values(i,:)=[781003,1910,1516,2006,258,7000];
i=i+1;data.values(i,:)=[796002,1843,1512,2027,269,7000];
i=i+1;data.values(i,:)=[811001,1778,1524,2026,236,7000];
i=i+1;data.values(i,:)=[826002,1715,1528,2006,252,7000];
i=i+1;data.values(i,:)=[841002,1651,1520,2020,217,7000];
i=i+1;data.values(i,:)=[856002,1584,1528,2019,263,7000];
i=i+1;data.values(i,:)=[871002,1522,1524,2000,233,7000];
i=i+1;data.values(i,:)=[886003,1455,1516,2025,231,7000];
i=i+1;data.values(i,:)=[900997,1393,1520,2021,252,7000];
i=i+1;data.values(i,:)=[916003,1328,1520,2011,258,7000];
i=i+1;data.values(i,:)=[931009,1266,1512,2016,255,7000];
i=i+1;data.values(i,:)=[946000,1198,1516,2024,269,7000];
i=i+1;data.values(i,:)=[961000,1135,1528,2032,260,7000];
i=i+1;data.values(i,:)=[976001,1068,1532,2013,235,7000];
i=i+1;data.values(i,:)=[991001,1007,1524,2018,219,7000];
i=i+1;data.values(i,:)=[1006000,944,1528,2021,247,7000];
i=i+1;data.values(i,:)=[1020999,877,1532,2012,219,7000];
i=i+1;data.values(i,:)=[1035999,815,1528,2011,246,7000];
i=i+1;data.values(i,:)=[1051002,747,1524,2020,252,7000];
i=i+1;data.values(i,:)=[1066000,683,1536,2017,255,7000];
i=i+1;data.values(i,:)=[1081002,619,1524,2020,227,7000];
i=i+1;data.values(i,:)=[1095998,555,1524,2009,219,7000];
i=i+1;data.values(i,:)=[1111000,489,1532,2015,239,7000];
i=i+1;data.values(i,:)=[1126004,428,1528,2023,225,7000];
i=i+1;data.values(i,:)=[1140999,361,1524,2007,252,7000];
i=i+1;data.values(i,:)=[1155999,297,1532,2017,258,7000];
i=i+1;data.values(i,:)=[1170999,233,1528,2014,236,7000];
i=i+1;data.values(i,:)=[1186000,170,1516,2023,249,7000];
i=i+1;data.values(i,:)=[1201000,103,1524,2010,263,7000];
i=i+1;data.values(i,:)=[1215998,37,1532,2026,260,7000];
i=i+1;data.values(i,:)=[1230999,4069,1528,2029,247,7000];
i=i+1;data.values(i,:)=[1246000,4005,1520,2010,239,7000];
i=i+1;data.values(i,:)=[1260999,3939,1520,2013,269,7000];
i=i+1;data.values(i,:)=[1276000,3878,1520,2019,263,7000];
i=i+1;data.values(i,:)=[1291000,3809,1516,2026,260,7000];
i=i+1;data.values(i,:)=[1306002,3747,1524,2009,275,7000];
i=i+1;data.values(i,:)=[1321000,3682,1524,2014,242,7000];
i=i+1;data.values(i,:)=[1336000,3618,1516,2021,244,7000];
i=i+1;data.values(i,:)=[1350998,3551,1516,2017,250,7000];
i=i+1;data.values(i,:)=[1366000,3488,1520,2014,275,7000];
i=i+1;data.values(i,:)=[1380999,3423,1528,2020,241,7000];
i=i+1;data.values(i,:)=[1395999,3359,1516,2019,255,7000];
i=i+1;data.values(i,:)=[1411000,3297,1524,2014,269,7000];
i=i+1;data.values(i,:)=[1426000,3230,1524,2015,258,7000];
i=i+1;data.values(i,:)=[1441000,3164,1520,2020,255,7000];
i=i+1;data.values(i,:)=[1456000,3101,1520,2005,263,7000];
i=i+1;data.values(i,:)=[1470999,3035,1528,2000,263,7000];
i=i+1;data.values(i,:)=[1486001,2973,1528,2021,249,7000];
i=i+1;data.values(i,:)=[1501000,2910,1524,2023,227,7000];
i=i+1;data.values(i,:)=[1516000,2842,1536,2006,247,7000];
i=i+1;data.values(i,:)=[1530998,2782,1532,2016,227,7000];
i=i+1;data.values(i,:)=[1546001,2715,1524,2011,211,7000];
i=i+1;data.values(i,:)=[1561000,2652,1536,2007,258,7000];
i=i+1;data.values(i,:)=[1576000,2586,1536,2006,249,7000];
i=i+1;data.values(i,:)=[1591004,2523,1524,2023,235,7000];
i=i+1;data.values(i,:)=[1606000,2455,1528,2021,249,7000];
i=i+1;data.values(i,:)=[1621000,2392,1532,2005,252,7000];
i=i+1;data.values(i,:)=[1636000,2328,1528,2016,219,7000];
i=i+1;data.values(i,:)=[1650999,2264,1520,2019,219,7000];
i=i+1;data.values(i,:)=[1665999,2198,1528,2009,263,7000];
i=i+1;data.values(i,:)=[1681000,2137,1528,2012,219,7000];
i=i+1;data.values(i,:)=[1696000,2070,1524,2010,239,7000];
i=i+1;data.values(i,:)=[1711002,2007,1524,2021,250,7000];
i=i+1;data.values(i,:)=[1726001,1942,1528,2010,236,7000];
i=i+1;data.values(i,:)=[1741000,1879,1516,2013,225,7000];
i=i+1;data.values(i,:)=[1756004,1812,1516,2019,231,7000];
i=i+1;data.values(i,:)=[1770998,1749,1524,2032,258,7000];
i=i+1;data.values(i,:)=[1786000,1685,1524,2012,247,7000];
i=i+1;data.values(i,:)=[1801000,1621,1516,2022,239,7000];
i=i+1;data.values(i,:)=[1816000,1558,1520,2023,266,7000];
i=i+1;data.values(i,:)=[1830999,1493,1524,2000,275,7000];
i=i+1;data.values(i,:)=[1846001,1426,1512,2013,263,7000];
i=i+1;data.values(i,:)=[1861000,1363,1516,2021,269,7000];
i=i+1;data.values(i,:)=[1876003,1298,1524,2014,236,7000];
i=i+1;data.values(i,:)=[1891002,1235,1528,2017,252,7000];
i=i+1;data.values(i,:)=[1906001,1171,1524,2024,243,7000];
i=i+1;data.values(i,:)=[1921001,1103,1532,2025,263,7000];
i=i+1;data.values(i,:)=[1936001,1042,1528,2009,252,7000];
i=i+1;data.values(i,:)=[1950998,975,1524,2015,249,7000];
i=i+1;data.values(i,:)=[1966000,911,1536,2022,249,7000];
i=i+1;data.values(i,:)=[1980999,846,1540,2007,233,7000];
i=i+1;data.values(i,:)=[1996003,782,1528,2013,219,7000];
i=i+1;data.values(i,:)=[2011002,716,1524,2023,258,7000];
i=i+1;data.values(i,:)=[2026003,654,1532,2016,249,7000];
i=i+1;data.values(i,:)=[2041003,588,1536,2020,229,7000];
i=i+1;data.values(i,:)=[2056003,524,1528,2021,221,7000];
i=i+1;data.values(i,:)=[2071002,460,1536,2020,233,7000];
i=i+1;data.values(i,:)=[2086003,396,1536,2009,219,7000];
i=i+1;data.values(i,:)=[2101003,328,1524,2019,237,7000];
i=i+1;data.values(i,:)=[2116003,264,1524,2023,258,7000];
i=i+1;data.values(i,:)=[2131001,199,1532,2021,263,7000];
i=i+1;data.values(i,:)=[2146002,137,1516,2020,249,7000];
i=i+1;data.values(i,:)=[2161004,73,1524,2021,233,7000];
i=i+1;data.values(i,:)=[2176002,6,1528,2017,252,7000];
i=i+1;data.values(i,:)=[2191001,4037,1524,2006,252,7000];
i=i+1;data.values(i,:)=[2206002,3973,1520,2016,239,7000];
i=i+1;data.values(i,:)=[2221003,3910,1520,2022,275,7000];
i=i+1;data.values(i,:)=[2236002,3846,1520,2018,223,7000];
i=i+1;data.values(i,:)=[2251001,3778,1512,2011,223,7000];
i=i+1;data.values(i,:)=[2266003,3716,1516,2009,250,7000];
i=i+1;data.values(i,:)=[2281003,3649,1520,2022,250,7000];
i=i+1;data.values(i,:)=[2296002,3585,1528,2013,244,7000];
i=i+1;data.values(i,:)=[2311003,3523,1512,2023,239,7000];
i=i+1;data.values(i,:)=[2326002,3455,1520,2022,275,7000];
i=i+1;data.values(i,:)=[2341003,3395,1524,2022,255,7000];
i=i+1;data.values(i,:)=[2356001,3327,1516,2006,255,7000];
i=i+1;data.values(i,:)=[2371002,3264,1520,2029,263,7000];
i=i+1;data.values(i,:)=[2386004,3198,1528,2020,260,7000];
i=i+1;data.values(i,:)=[2401003,3136,1520,2028,258,7000];
i=i+1;data.values(i,:)=[2416003,3068,1516,2013,263,7000];
i=i+1;data.values(i,:)=[2431002,3004,1528,2023,263,7000];
i=i+1;data.values(i,:)=[2446003,2940,1528,2024,249,7000];
i=i+1;data.values(i,:)=[2461002,2877,1520,2008,227,7000];
i=i+1;data.values(i,:)=[2476007,2813,1532,2020,247,7000];
i=i+1;data.values(i,:)=[2491004,2749,1532,2012,219,7000];
i=i+1;data.values(i,:)=[2506004,2686,1528,2006,243,7000];
i=i+1;data.values(i,:)=[2521003,2618,1524,2010,258,7000];
i=i+1;data.values(i,:)=[2536002,2553,1532,2018,255,7000];
i=i+1;data.values(i,:)=[2551003,2489,1520,2028,235,7000];
i=i+1;data.values(i,:)=[2566003,2427,1524,2019,227,7000];
i=i+1;data.values(i,:)=[2581003,2361,1528,2009,266,7000];
i=i+1;data.values(i,:)=[2596002,2299,1528,2020,233,7000];
i=i+1;data.values(i,:)=[2611003,2233,1520,2018,219,7000];
i=i+1;data.values(i,:)=[2626003,2170,1528,2008,252,7000];
i=i+1;data.values(i,:)=[2641001,2105,1532,2012,233,7000];
i=i+1;data.values(i,:)=[2656000,2041,1528,2017,219,7000];
i=i+1;data.values(i,:)=[2671000,1974,1520,2002,263,7000];
i=i+1;data.values(i,:)=[2686000,1908,1524,2015,242,7000];
i=i+1;data.values(i,:)=[2700999,1845,1524,2008,225,7000];
i=i+1;data.values(i,:)=[2716001,1783,1512,2027,236,7000];
i=i+1;data.values(i,:)=[2731000,1716,1524,2013,272,7000];
i=i+1;data.values(i,:)=[2746001,1655,1524,2024,252,7000];
i=i+1;data.values(i,:)=[2760999,1587,1516,2027,247,7000];
i=i+1;data.values(i,:)=[2775999,1525,1528,2004,269,7000];
i=i+1;data.values(i,:)=[2790999,1459,1528,2011,266,7000];
i=i+1;data.values(i,:)=[2806000,1396,1512,2018,263,7000];
i=i+1;data.values(i,:)=[2820999,1330,1516,2018,269,7000];
i=i+1;data.values(i,:)=[2836001,1267,1528,2010,236,7000];
i=i+1;data.values(i,:)=[2851003,1201,1528,2021,252,7000];
i=i+1;data.values(i,:)=[2866001,1138,1524,2026,243,7000];
i=i+1;data.values(i,:)=[2881001,1074,1532,2004,258,7000];
i=i+1;data.values(i,:)=[2896002,1010,1528,2015,252,7000];
i=i+1;data.values(i,:)=[2911000,943,1524,2021,249,7000];
i=i+1;data.values(i,:)=[2926131,879,1524,2028,258,7000];
i=i+1;data.values(i,:)=[2940998,814,1532,2017,247,7000];
i=i+1;data.values(i,:)=[2956001,751,1524,2027,213,7000];
i=i+1;data.values(i,:)=[2971001,690,1524,2016,240,7000];
i=i+1;data.values(i,:)=[2986003,621,1528,2015,217,7000];
i=i+1;data.values(i,:)=[3001003,560,1532,2013,237,7000];
i=i+1;data.values(i,:)=[3016003,493,1528,2025,227,7000];
i=i+1;data.values(i,:)=[3031004,430,1532,2016,233,7000];
i=i+1;data.values(i,:)=[3046002,364,1532,2003,225,7000];
i=i+1;data.values(i,:)=[3061003,299,1528,2019,246,7000];
i=i+1;data.values(i,:)=[3076003,233,1520,2026,263,7000];
i=i+1;data.values(i,:)=[3091002,167,1528,2013,223,7000];
i=i+1;data.values(i,:)=[3106003,105,1524,2015,252,7000];
i=i+1;data.values(i,:)=[3121012,42,1520,2024,249,7000];
i=i+1;data.values(i,:)=[3136003,4070,1524,2017,263,7000];
i=i+1;data.values(i,:)=[3151002,4009,1520,2004,236,7000];
i=i+1;data.values(i,:)=[3166004,3942,1512,2008,236,7000];
i=i+1;data.values(i,:)=[3181002,3879,1520,2021,269,7000];
i=i+1;data.values(i,:)=[3196002,3813,1524,2012,250,7000];
i=i+1;data.values(i,:)=[3211002,3750,1516,2024,231,7000];
i=i+1;data.values(i,:)=[3226005,3683,1516,2024,266,7000];
i=i+1;data.values(i,:)=[3241003,3620,1520,2031,272,7000];
i=i+1;data.values(i,:)=[3256002,3554,1520,2007,247,7000];
i=i+1;data.values(i,:)=[3271001,3490,1516,2019,260,7000];
i=i+1;data.values(i,:)=[3286001,3428,1520,2026,281,7000];
i=i+1;data.values(i,:)=[3301000,3362,1524,2005,236,7000];
i=i+1;data.values(i,:)=[3316003,3296,1516,2018,258,7000];
i=i+1;data.values(i,:)=[3330998,3232,1520,2023,263,7000];
i=i+1;data.values(i,:)=[3346001,3166,1528,2020,236,7000];
i=i+1;data.values(i,:)=[3361000,3103,1516,2014,258,7000];
i=i+1;data.values(i,:)=[3376002,3040,1520,2016,235,7000];
i=i+1;data.values(i,:)=[3390999,2972,1536,2024,258,7000];
i=i+1;data.values(i,:)=[3406001,2907,1532,2008,229,7000];
i=i+1;data.values(i,:)=[3421000,2844,1524,2014,227,7000];
i=i+1;data.values(i,:)=[3436001,2781,1532,2019,252,7000];
i=i+1;data.values(i,:)=[3451002,2716,1532,2018,244,7000];
i=i+1;data.values(i,:)=[3466001,2653,1524,2014,252,7000];
i=i+1;data.values(i,:)=[3481002,2585,1524,2014,252,7000];
i=i+1;data.values(i,:)=[3495999,2520,1532,2029,255,7000];
i=i+1;data.values(i,:)=[3510999,2457,1528,2016,241,7000];
i=i+1;data.values(i,:)=[3526004,2394,1524,2020,233,7000];
i=i+1;data.values(i,:)=[3541002,2328,1532,2012,247,7000];
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i=i+1;data.values(i,:)=[7153997,3172,1524,2013,258,7000];
i=i+1;data.values(i,:)=[7168997,3107,1528,2017,244,7000];
i=i+1;data.values(i,:)=[7183996,3044,1524,2020,225,7000];
i=i+1;data.values(i,:)=[7198997,2976,1520,2011,239,7000];
i=i+1;data.values(i,:)=[7213997,2912,1532,2009,258,7000];
i=i+1;data.values(i,:)=[7228997,2847,1532,2019,229,7000];
i=i+1;data.values(i,:)=[7243996,2784,1528,2029,221,7000];
i=i+1;data.values(i,:)=[7258996,2722,1536,2016,233,7000];
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i=i+1;data.values(i,:)=[7288996,2593,1528,2021,246,7000];
i=i+1;data.values(i,:)=[7303995,2526,1520,2027,258,7000];
i=i+1;data.values(i,:)=[7318996,2460,1528,2009,223,7000];
i=i+1;data.values(i,:)=[7333997,2398,1528,2017,235,7000];
i=i+1;data.values(i,:)=[7348998,2335,1516,2018,227,7000];
i=i+1;data.values(i,:)=[7363996,2268,1524,2017,228,7000];
i=i+1;data.values(i,:)=[7378996,2204,1528,2010,241,7000];
i=i+1;data.values(i,:)=[7393997,2141,1520,2027,233,7000];
i=i+1;data.values(i,:)=[7408996,2077,1524,2021,247,7000];
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i=i+1;data.values(i,:)=[7468997,1817,1524,2008,275,7000];
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i=i+1;data.values(i,:)=[7513997,1625,1520,2027,263,7000];
i=i+1;data.values(i,:)=[7528997,1563,1524,2007,231,7000];
i=i+1;data.values(i,:)=[7543997,1496,1520,2027,231,7000];
i=i+1;data.values(i,:)=[7558996,1433,1520,2014,258,7000];
i=i+1;data.values(i,:)=[7573997,1368,1528,2016,250,7000];
i=i+1;data.values(i,:)=[7588998,1305,1524,2017,233,7000];
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i=i+1;data.values(i,:)=[7648996,1046,1520,2020,252,7000];
i=i+1;data.values(i,:)=[7663995,983,1528,2030,258,7000];
i=i+1;data.values(i,:)=[7678997,917,1532,2003,243,7000];
i=i+1;data.values(i,:)=[7693997,849,1528,2025,221,7000];
i=i+1;data.values(i,:)=[7708997,786,1524,2020,255,7000];
i=i+1;data.values(i,:)=[7724003,721,1532,2004,233,7000];
i=i+1;data.values(i,:)=[7738998,659,1528,2005,219,7000];
i=i+1;data.values(i,:)=[7753997,595,1524,2022,246,7000];
i=i+1;data.values(i,:)=[7768997,527,1532,2027,258,7000];
i=i+1;data.values(i,:)=[7783996,466,1540,2006,229,7000];
i=i+1;data.values(i,:)=[7798997,398,1524,2023,213,7000];
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i=i+1;data.values(i,:)=[7828997,270,1532,2005,244,7000];
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i=i+1;data.values(i,:)=[7858995,141,1520,2011,244,7000];
i=i+1;data.values(i,:)=[7873997,77,1524,2019,236,7000];
i=i+1;data.values(i,:)=[7888996,12,1528,2012,223,7000];
i=i+1;data.values(i,:)=[7903996,4046,1516,2007,236,7000];
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i=i+1;data.values(i,:)=[8023996,3526,1520,2020,275,7000];
i=i+1;data.values(i,:)=[8038996,3461,1520,2025,263,7000];
i=i+1;data.values(i,:)=[8053997,3399,1508,2011,263,7000];
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i=i+1;data.values(i,:)=[8098997,3206,1520,2011,225,7000];
i=i+1;data.values(i,:)=[8113997,3139,1516,2016,258,7000];
i=i+1;data.values(i,:)=[8128997,3073,1528,2021,231,7000];
i=i+1;data.values(i,:)=[8143996,3010,1532,2024,243,7000];
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i=i+1;data.values(i,:)=[8173997,2880,1532,2019,255,7000];
i=i+1;data.values(i,:)=[8188996,2813,1528,2011,221,7000];
i=i+1;data.values(i,:)=[8203996,2752,1520,2015,219,7000];
i=i+1;data.values(i,:)=[8218996,2689,1532,2004,239,7000];
i=i+1;data.values(i,:)=[8233996,2623,1528,2010,231,7000];
i=i+1;data.values(i,:)=[8248997,2560,1524,2013,225,7000];
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i=i+1;data.values(i,:)=[8278996,2430,1532,2015,258,7000];
i=i+1;data.values(i,:)=[8293997,2366,1528,2023,249,7000];
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i=i+1;data.values(i,:)=[8323997,2236,1528,2021,263,7000];
i=i+1;data.values(i,:)=[8338998,2175,1532,2008,241,7000];
i=i+1;data.values(i,:)=[8353997,2107,1524,2024,233,7000];
i=i+1;data.values(i,:)=[8368997,2045,1520,2012,258,7000];
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i=i+1;data.values(i,:)=[8443996,1722,1524,2014,263,7000];
i=i+1;data.values(i,:)=[8458997,1659,1516,2028,263,7000];
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i=i+1;data.values(i,:)=[8488999,1530,1528,2012,239,7000];
i=i+1;data.values(i,:)=[8503996,1467,1516,2018,231,7000];
i=i+1;data.values(i,:)=[8518996,1401,1516,2007,258,7000];
i=i+1;data.values(i,:)=[8533999,1335,1528,2017,244,7000];
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i=i+1;data.values(i,:)=[8563996,1209,1520,2015,225,7000];
i=i+1;data.values(i,:)=[8578996,1141,1528,2014,263,7000];
i=i+1;data.values(i,:)=[8593998,1081,1528,2020,233,7000];
i=i+1;data.values(i,:)=[8608998,1014,1524,2014,225,7000];
i=i+1;data.values(i,:)=[8623996,950,1536,2012,244,7000];
i=i+1;data.values(i,:)=[8638998,885,1532,2011,223,7000];
i=i+1;data.values(i,:)=[8653997,822,1520,2020,249,7000];
i=i+1;data.values(i,:)=[8668997,754,1524,2031,263,7000];
i=i+1;data.values(i,:)=[8683996,692,1536,2007,233,7000];
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i=i+1;data.values(i,:)=[8713997,562,1524,2021,246,7000];
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i=i+1;data.values(i,:)=[8803997,176,1520,2021,225,7000];
i=i+1;data.values(i,:)=[8818996,112,1524,2009,225,7000];
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i=i+1;data.values(i,:)=[8848999,4075,1524,2010,231,7000];
i=i+1;data.values(i,:)=[8863996,4011,1516,2016,223,7000];
i=i+1;data.values(i,:)=[8878998,3950,1524,2022,244,7000];
i=i+1;data.values(i,:)=[8893997,3883,1528,2012,239,7000];
i=i+1;data.values(i,:)=[8908998,3820,1520,2025,239,7000];
i=i+1;data.values(i,:)=[8923996,3753,1516,2016,260,7000];
i=i+1;data.values(i,:)=[8938997,3688,1520,2006,275,7000];
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i=i+1;data.values(i,:)=[8968997,3562,1516,2026,255,7000];
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i=i+1;data.values(i,:)=[9013998,3365,1520,2013,258,7000];
i=i+1;data.values(i,:)=[9028997,3302,1528,2024,244,7000];
i=i+1;data.values(i,:)=[9043997,3236,1528,2007,223,7000];
i=i+1;data.values(i,:)=[9058998,3173,1516,2016,225,7000];
i=i+1;data.values(i,:)=[9073998,3106,1516,2014,258,7000];
i=i+1;data.values(i,:)=[9088997,3042,1532,2014,236,7000];
i=i+1;data.values(i,:)=[9103997,2977,1528,2007,246,7000];
i=i+1;data.values(i,:)=[9118996,2913,1524,2023,241,7000];
i=i+1;data.values(i,:)=[9133998,2851,1528,2020,260,7000];
i=i+1;data.values(i,:)=[9148997,2785,1532,2011,235,7000];
i=i+1;data.values(i,:)=[9163996,2720,1520,2024,227,7000];
i=i+1;data.values(i,:)=[9178999,2656,1524,2009,233,7000];
i=i+1;data.values(i,:)=[9193998,2590,1532,2013,239,7000];
i=i+1;data.values(i,:)=[9208997,2527,1520,2013,246,7000];
i=i+1;data.values(i,:)=[9223996,2464,1532,2017,229,7000];
i=i+1;data.values(i,:)=[9238998,2396,1540,2031,263,7000];
i=i+1;data.values(i,:)=[9253997,2336,1532,2012,235,7000];
i=i+1;data.values(i,:)=[9269001,2269,1520,2006,227,7000];
i=i+1;data.values(i,:)=[9283996,2207,1528,2020,252,7000];
i=i+1;data.values(i,:)=[9298997,2141,1528,2010,233,7000];
i=i+1;data.values(i,:)=[9313998,2078,1520,2003,211,7000];
i=i+1;data.values(i,:)=[9328999,2011,1520,2009,252,7000];
i=i+1;data.values(i,:)=[9343996,1946,1528,2010,250,7000];
i=i+1;data.values(i,:)=[9358998,1883,1524,2021,239,7000];
i=i+1;data.values(i,:)=[9373997,1820,1516,2018,239,7000];
i=i+1;data.values(i,:)=[9388997,1753,1524,2027,266,7000];
i=i+1;data.values(i,:)=[9403996,1693,1524,2014,255,7000];
i=i+1;data.values(i,:)=[9418997,1625,1516,2017,241,7000];
i=i+1;data.values(i,:)=[9433998,1561,1528,2025,263,7000];
i=i+1;data.values(i,:)=[9448997,1496,1528,2022,260,7000];
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i=i+1;data.values(i,:)=[9478998,1366,1520,2021,263,7000];
i=i+1;data.values(i,:)=[9493998,1303,1524,2019,236,7000];
i=i+1;data.values(i,:)=[9508998,1239,1528,2025,231,7000];
i=i+1;data.values(i,:)=[9523996,1175,1516,2012,258,7000];
i=i+1;data.values(i,:)=[9538997,1111,1528,2013,263,7000];
i=i+1;data.values(i,:)=[9553998,1046,1532,2022,225,7000];
i=i+1;data.values(i,:)=[9568996,980,1516,2007,252,7000];
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i=i+1;data.values(i,:)=[9598997,850,1532,2026,247,7000];
i=i+1;data.values(i,:)=[9613998,787,1540,2017,227,7000];
i=i+1;data.values(i,:)=[9628998,724,1528,2020,246,7000];
i=i+1;data.values(i,:)=[9643996,657,1536,2019,258,7000];
i=i+1;data.values(i,:)=[9658997,595,1536,2024,229,7000];
i=i+1;data.values(i,:)=[9673997,527,1524,2017,227,7000];
i=i+1;data.values(i,:)=[9688998,464,1532,2009,247,7000];
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i=i+1;data.values(i,:)=[9718997,335,1528,2010,252,7000];
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i=i+1;data.values(i,:)=[10198997,2362,1532,2010,258,7000];
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i=i+1;data.values(i,:)=[10363996,1658,1524,2021,227,7000];
i=i+1;data.values(i,:)=[10378997,1594,1516,2020,247,7000];
i=i+1;data.values(i,:)=[10393998,1528,1516,2026,275,7000];
i=i+1;data.values(i,:)=[10408998,1462,1520,2016,266,7000];
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i=i+1;data.values(i,:)=[10483996,1141,1516,2014,249,7000];
i=i+1;data.values(i,:)=[10498997,1077,1528,2028,263,7000];
i=i+1;data.values(i,:)=[10513998,1013,1532,2012,255,7000];
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i=i+1;data.values(i,:)=[10543997,881,1524,2021,241,7000];
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i=i+1;data.values(i,:)=[10603997,628,1532,2022,263,7000];
i=i+1;data.values(i,:)=[10618997,562,1528,2012,243,7000];
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